The course provides an overview of automatic identification technologies and their practical applications in industry, logistics, and other fields. Students will become familiar with the principles of barcodes, RFID, NFC, and biometric systems and understand their role in modern information and industrial systems.
Attention is given to data collection and processing, security aspects of identification systems, standards, and communication protocols. Students will gain a basic understanding of the possibilities for integrating automatic identification technologies into industrial processes, Internet of Things (IoT) systems, and Real-Time Location Systems (RTLS). The course also introduces current trends and future developments in the field of automatic identification technologies.
Professional Knowledge
Upon successful completion of the course, the student will be able to:
- explain the principles of fundamental automatic identification technologies;
- describe the characteristics of barcode, RFID, NFC, and biometric systems;
- characterize standards and communication protocols used in automatic identification systems;
- explain the principles of data collection, transmission, and processing in identification systems;
- describe the applications of automatic identification technologies in logistics, industry, and IoT environments.
Professional Skills
Upon successful completion of the course, the student will be able to:
- distinguish between different automatic identification technologies;
- compare their advantages and limitations for selected applications;
- interpret basic data obtained from identification systems;
- assess the suitability of a selected identification technology for a specific application;
- demonstrate awareness of basic data security and privacy protection requirements.
General Competencies
Upon successful completion of the course, the student will be able to:
- orient themselves in contemporary automatic identification technologies;
- search for and interpret professional information related to automatic identification;
- understand the relationship between identification technologies and the digitalization of industrial processes;
- follow current trends and future developments in the field of automatic identification.